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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 3    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 3, March 2011 Edition
Parameter Ranking and Reduction in Communication Systems
Full Text(PDF, 3000)  PP.  
Author(s)
M.H. Azmol, M.H. Biswas, and A. Munnujahan
KEYWORDS
Eigenvalues, Parameter reduction, Non-negative matrix factorization
ABSTRACT
Parameter reduction from experimental data is an important issue arising in many frequently encountered problems with different types of applications in communications engineering. However, the computational effort grows drastically with the number of parameters in such types of applications. This paper proposes a technique that reduces the performance parameters of a communication system based on eigenvalues of covariance matrix as well as providing a weighted rank of parameters by an approach called non-negative matrix factorization (NMF). The factorization of original matrix provides a weight metric that offers a means of ranking and selecting meaningful important parameters. The relative importance of each parameter is measured from the sequentially ordered eigenvalues. The main aims of this paper are to determine, identify and reduce the reasonable number of performance parameters which will reflect the best measurement system of a describing network scenario.
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